Q-omics provides the consensus-scored MTCO3P23 profile across patient tissues and cancer cell-line models. MTCO3P23 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, MTCO3P23 is differentially expressed in 4, with the highest sampling consensus in KIRC. Additionally, MTCO3P23 RNA expression shows 13,690 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight THCA, KIRC, and LSCC as cancer lineages where MTCO3P23 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for MTCO3P23 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MTCO3P23 survival associations across molecular data types. MTCO3P23 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MTCO3P23 RNA expression–survival associations across cancer types. High MTCO3P23 expression shows unfavorable associations in THCA, UVM, OV, UCS, UCEC and SKCM. The THCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify THCA as the clearest survival context for MTCO3P23 RNA expression.
This table summarizes MTCO3P23 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MTCO3P23. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MTCO3P23 shows lower tumor expression in KIRC and LUAD and higher tumor expression in ESCA and LIHC. The KIRC box plot shows higher MTCO3P23 RNA expression in normal versus tumor tissue (log2 FC = −0.040, t-test p = .005).
This table shows molecular features associated with MTCO3P23 in patient tissues and cancer cell lines. In patient samples, MTCO3P23 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
